Engenheiro de Dados - Sênior | PySpark e AWS

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Engenheiro de Dados - Sênior | PySpark e AWS in Brazil.

This role sits at the heart of large-scale data transformation initiatives, where you will design, build, and optimize modern data pipelines that power analytics, AI, and business decision-making. You will work in a highly collaborative, global environment, contributing to the evolution of scalable data platforms on AWS. The position involves handling high-volume data processing, ensuring performance, reliability, and governance across complex data ecosystems. You will play a key role in shaping data architecture decisions and enabling advanced analytics capabilities for enterprise-level clients. Working alongside multidisciplinary teams, you will help translate business needs into robust, production-ready data solutions. This is an opportunity to influence data strategy while working with cutting-edge cloud and big data technologies.

Accountabilities

You will be responsible for building and maintaining scalable data engineering solutions, ensuring high performance, reliability, and alignment with business and analytical needs.

• Design, develop, and maintain scalable data pipelines using Python and PySpark
• Build and optimize data processing architectures on AWS (S3, Glue, EMR, Lambda, Redshift)
• Develop robust ETL/ELT workflows for ingestion, transformation, and processing of large datasets
• Apply advanced SQL techniques for data manipulation, modeling, and query optimization
• Design and implement data models for analytical environments such as Data Lakes and Data Warehouses
• Collaborate on cloud-based data architecture and best engineering practices
• Use Git for version control and ensure software engineering best practices in data development
• Contribute to workflow orchestration using tools such as Airflow or similar platforms
• Support data governance, performance tuning, and system scalability initiatives
• Work closely with cross-functional teams to translate business requirements into technical solutions

Requirements

You are an experienced data engineer with strong expertise in cloud platforms, distributed processing, and scalable data architecture.

• Proven experience as a Data Engineer working with large-scale data environments
• Strong hands-on experience with Python and PySpark for data pipeline development
• Solid experience with AWS data services (S3, Glue, EMR, Lambda, Redshift)
• Strong knowledge of ETL/ELT processes and distributed data processing
• Advanced SQL skills for querying, modeling, and optimization
• Experience designing Data Lakes and Data Warehouses
• Familiarity with Git and modern software engineering practices
• Knowledge of workflow orchestration tools (e.g., Airflow) is desirable
• Understanding of data architecture, performance optimization, and scalability principles
• Strong analytical thinking and problem-solving abilities
• Ability to work in collaborative, global, and fast-paced environments
• English at advanced or fluent level is a strong plus

Benefits

• Medical assistance fully covered for employee and dependents
• Dental assistance
• Meal or food allowance with no salary deduction
• Life insurance
• Private pension plan
• Gympass access for wellness and fitness
• Employee stock purchase plan with discount
• Pharmacy discounts (as per policy)
• Childcare assistance (as per policy)
• Language school partnerships (as per policy)
• Extended maternity and paternity leave
• Performance-based bonus program (PPR, as per policy)
• Career development within a global organization
• Exposure to large-scale, international data projects

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1